Estimating the risk of major adverse cardiac events following radiotherapy for left breast cancer using a modified generalized Lyman normal-tissue complication probability model

医学 并发症 乳腺癌 放射治疗 癌症 不利影响 内科学 心脏病学 肿瘤科
作者
Tzu‐Yu Lai,Yu‐Wen Hu,Ti‐Hao Wang,Jui-Pin Chen,Cheng-Ying Shiau,Pin‐I Huang,I‐Chun Lai,Yuming Liu,Chi‐Cheng Huang,Ling‐Ming Tseng,Nicole Huang,Chia-Jen Liu
出处
期刊:The Breast [Elsevier BV]
卷期号:77: 103788-103788
标识
DOI:10.1016/j.breast.2024.103788
摘要

BackgroundWe introduced an adapted Lyman normal-tissue complication probability (NTCP) model, incorporating clinical risk factors and censored time-to-event data, to estimate the risk of major adverse cardiac events (MACE) following left breast cancer radiotherapy (RT).Materials and methodsClinical characteristics and MACE data of 1100 women with left-side breast cancer receiving postoperative RT from 2005 to 2017 were retrospectively collected. A modified generalized Lyman NTCP model based on the individual left ventricle (LV) equivalent uniform dose (EUD), accounting for clinical risk factors and censored data, was developed using maximum likelihood estimation. Subgroup analysis was performed for low-comorbidity and high-comorbidity groups.ResultsOver a median follow-up 7.8 years, 64 patients experienced MACE, with higher mean LV dose in affected individuals (4.1 Gy vs. 2.9 Gy). The full model accounting for clinical factors identified D50 = 43.3 Gy, m = 0.59, and n = 0.78 as the best-fit parameters. The threshold dose causing a 50 % probability of MACE was lower in the high-comorbidity group (D50 = 30 Gy) compared to the low-comorbidity group (D50 = 45 Gy). Predictions indicated that restricting LV EUD below 5 Gy yielded a 10-year relative MACE risk less than 1.3 and 1.5 for high-comorbidity and low-comorbidity groups, respectively.ConclusionPatients with comorbidities are more susceptible to cardiac events following breast RT. The proposed modified generalized Lyman model considers nondosimetric risk factors and addresses incomplete follow-up for late complications, offering comprehensive and individualized MACE risk estimates post-RT.

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